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Statistical Learning

4,117 papers

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Papers

Empirical Bernstein Inequalities for U-Statistics NIPS 2010
Active Estimation of F-Measures NIPS 2010
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models NIPS 2010
The LASSO risk: asymptotic results and real world examples NIPS 2010
Implicit encoding of prior probabilities in optimal neural populations NIPS 2010
Pairwise Measures of Causal Direction in Linear Non-Gaussian Acyclic Models ACML 2010
Learning with Blocks: Composite Likelihood and Contrastive Divergence AISTATS 2010
Kernel Partial Least Squares is Universally Consistent AISTATS 2010
Sufficient covariates and linear propensity analysis AISTATS 2010
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity AISTATS 2010
Relating Function Class Complexity and Cluster Structure in the Function Domain with Applications to Transduction AISTATS 2010
The Group Dantzig Selector AISTATS 2010
Empirical Bernstein Boosting AISTATS 2010
Reduced-Rank Hidden Markov Models AISTATS 2010
Risk Bounds for Levy Processes in the PAC-Learning Framework AISTATS 2010
Model Selection: Beyond the Bayesian/Frequentist Divide JMLR 2010
Classification Methods with Reject Option Based on Convex Risk Minimization JMLR 2010
An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data JMLR 2010
On Finding Predictors for Arbitrary Families of Processes JMLR 2010
A Rotation Test to Verify Latent Structure JMLR 2010
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate JMLR 2010
Consistent Nonparametric Tests of Independence JMLR 2010
Permutation Tests for Studying Classifier Performance JMLR 2010
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary β-Mixing Processes JMLR 2010
Practical Approaches to Principal Component Analysis in the Presence of Missing Values JMLR 2010